Selling Price and Amount Spent Advertising Were Entered into a Multiple

Multiple Choice

Selling price and amount spent advertising were entered into a multiple regression to determine what affects flat panel LCD TV sales. The correct null and alternative Hypotheses for testing the regression coefficient of Price is

A) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } \neq 0 \mathrm { Vs } . \mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } = 0$
B) $\mathrm { H } _ { 0 : } \beta _ { \mathrm { P } } \geq 0 \text { vs. } \mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } < 0$
C) $\mathrm { H } _ { 0 } : \beta _ { \mathrm { P } } \leq 0 \text { vs. } \mathrm { H } _ { \mathrm { a } } : \beta _ { \mathrm { P } } > 0$
D) $\mathrm { H } _ { 0 : } \beta _ { \mathrm { P } } = 0 \text { vs. } \mathrm { H } _ { \mathrm { A } } : \beta _ { \mathrm { P } } \neq 0$
E) $\mathrm { H } _ { 0 }$ The regression is not significant vs. $\mathrm { H } _ { \mathrm { A } }$ The regression is significant.